Data Engineer at Oneacrefund

About One Acre Fund Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our Why Work Here blog post. About the Role The Data Engineer builds and maintains the systems that power the organization’s data platform. This role is responsible for developing reliable data pipelines, maintaining data infrastructure, and enabling high-quality datasets that support analytics and decision-making across the organization. Data Engineers work closely with analysts, business stakeholders, and other engineers to ensure that data is not only available, but structured and documented in ways that allow it to be used consistently and reliably. They also own one or more data domains, with end-to-end responsibility for the pipelines, transformations, and underlying data models that support those domains. Responsibilities Data Pipeline Development • Design, build, and maintain data pipelines that ingest and process data from operational systems into the data warehouse. • Ensure pipelines are reliable, scalable, and maintainable. • Implement monitoring, logging, and alerting to detect failures or anomalies in data processing. • Troubleshoot and resolve data pipeline failures or data quality issues. Data Modeling and Semantic Layer Support • Work with analysts and data stakeholders to transform raw datasets into structured, reusable datasets that directly support reporting and analytics. • Implement transformations that capture key business logic within the data warehouse. • Contribute to the development of curated datasets and standardized views that enable consistent analysis across teams and countries. • Ensure datasets are clearly documented and understandable to downstream users. Data Quality and Reliability Implement validation, testing, and monitoring processes that ensure data accuracy and consistency. • Maintain data quality checks and validation rules within pipelines. • Improve reliability and resilience of the data platform through continuous improvement of infrastructure and processes. Collaboration with Stakeholders • Work closely with data analysts, business analysts, and domain experts to understand data needs and operational workflows. • Translate business requirements into data models and transformations. • Support the creation of datasets that enable self-service reporting and analytics. Incident Response and Continuous Improvement • Investigate and resolve issues affecting data pipelines or datasets. • Conduct root cause analysis and implement long-term fixes. • Document systems, datasets, and data pipelines to support knowledge sharing and maintainability. Career Growth and Development We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career. Qualifications Across all roles, these are the general qualifications we look for. For this role specifically, you will have: Technical skills: • 3+ years experience in data engineering, analytics engineering, or related software development roles • Strong experience with SQL and data transformation • Experience with programming languages such as Python or Java • Experience building and maintaining ETL/ELT pipelines • Familiarity with modern data warehouse technologies Knowledge: • Understanding of data modeling and warehousing concepts • Experience working with large datasets and analytical systems • Familiarity with monitoring, logging, and data quality practices Preferred Start Date As soon as possible Job Location Nairobi, Kenya and Kigali, Rwanda Benefits Health insurance, housing, and comprehensive benefits Contract Duration 2 Years Eligibility One Acre Fund can support a work permit for this role. However, nationals of (or those with an extensive professional background and work history in) our countries of operation are preferred. Application Deadline 09 July 2026. Please note that we hire on a rolling basis which means that applications are reviewed and processed on a continuous basis until a hire is made. One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here ([Upgrade to PRO to see contact]), but do not send applications or application materials to this email address. Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organization’s mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.